class_docstr: Convert a PIL image to Raw Tensor if we don't want to apply the default
  division by 255 by torchvision.transforms.ToTensor()
code: def __call__(self, image):
      img = np.array(image)
      # Image is of shape H x W x C. Convert to C x H x W and then torch tensor
      # float.
      img_raw_tensor = torch.from_numpy(img.transpose(2, 0, 1)).float()
      return img_raw_tensor
  
file_path: vissl/vissl/data/ssl_transforms/img_pil_to_raw_tensor.py
imports: import logging
  from typing import Any, Dict
  import numpy
  import torch
  from classy_vision.dataset.transforms import register_transform
  from classy_vision.dataset.transforms.classy_transform import ClassyTransform
label_desc: Use image node_id 2 for calling the ImgPilToRawTensor obj's underlying member method code with example usage: obj.__call__(image) and returns: img_raw_tensor